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2014 Low Mach number fluctuating hydrodynamics of diffusively mixing fluids
Aleksandar Donev, Andy Nonaka, Yifei Sun, Thomas Fai, Alejandro Garcia, John Bell
Commun. Appl. Math. Comput. Sci. 9(1): 47-105 (2014). DOI: 10.2140/camcos.2014.9.47


We formulate low Mach number fluctuating hydrodynamic equations appropriate for modeling diffusive mixing in isothermal mixtures of fluids with different density and transport coefficients. These equations represent a coarse-graining of the microscopic dynamics of the fluid molecules in both space and time and eliminate the fluctuations in pressure associated with the propagation of sound waves by replacing the equation of state with a local thermodynamic constraint. We demonstrate that the low Mach number model preserves the spatiotemporal spectrum of the slower diffusive fluctuations. We develop a strictly conservative finite-volume spatial discretization of the low Mach number fluctuating equations in both two and three dimensions and construct several explicit Runge–Kutta temporal integrators that strictly maintain the equation-of-state constraint. The resulting spatiotemporal discretization is second-order accurate deterministically and maintains fluctuation-dissipation balance in the linearized stochastic equations. We apply our algorithms to model the development of giant concentration fluctuations in the presence of concentration gradients and investigate the validity of common simplifications such as neglecting the spatial nonhomogeneity of density and transport properties. We perform simulations of diffusive mixing of two fluids of different densities in two dimensions and compare the results of low Mach number continuum simulations to hard-disk molecular-dynamics simulations. Excellent agreement is observed between the particle and continuum simulations of giant fluctuations during time-dependent diffusive mixing.


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Aleksandar Donev. Andy Nonaka. Yifei Sun. Thomas Fai. Alejandro Garcia. John Bell. "Low Mach number fluctuating hydrodynamics of diffusively mixing fluids." Commun. Appl. Math. Comput. Sci. 9 (1) 47 - 105, 2014.


Received: 26 November 2013; Revised: 14 January 2014; Accepted: 14 January 2014; Published: 2014
First available in Project Euclid: 20 December 2017

zbMATH: 1317.76087
MathSciNet: MR3212867
Digital Object Identifier: 10.2140/camcos.2014.9.47

Primary: 76T99
Secondary: 65M08

Keywords: fluctuating hydrodynamics , giant fluctuations , low Mach expansion , molecular dynamics

Rights: Copyright © 2014 Mathematical Sciences Publishers


Vol.9 • No. 1 • 2014
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